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模拟用于治疗败血症的血液吸附珠内竞争性细胞因子吸附动力学。

Modeling competitive cytokine adsorption dynamics within hemoadsorption beads used to treat sepsis.

机构信息

Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15203, USA.

出版信息

J Chromatogr A. 2011 Nov 4;1218(44):8013-20. doi: 10.1016/j.chroma.2011.09.007. Epub 2011 Sep 9.

Abstract

Extracorporeal blood purification is a promising therapeutic modality for sepsis, a potentially fatal, dysfunctional immunologic state caused by infection. Removal of inflammatory mediators such as cytokines from the blood may help attenuate hyper-inflammatory signaling during sepsis and improve patient outcomes. We are developing a hemoadsorption device to remove cytokines from the circulating blood using biocompatible, porous sorbent beads. In this work, we investigated whether competitive adsorption of serum solutes affects cytokine removal dynamics within the hemoadsorption beads. Confocal laser scanning microscopy (CLSM) was used to quantify intraparticle adsorption profiles of fluorescently labeled IL-6 in horse serum, and results were compared to predictions of a two component competitive adsorption model. Supraphysiologic IL-6 concentrations were necessary to obtain adequate CLSM signal, therefore unknown model parameters were fit to CLSM data at high IL-6 concentrations, and the fitted model was used to simulate cytokine adsorption behavior at physiologically relevant levels which were below the microscopy detection threshold. CLSM intraparticle IL-6 adsorption profiles agreed with predictions of the competitive adsorption model, indicating displacement of cytokine by high affinity serum solutes. However, competitive adsorption effects were predicted using the model to be negligible at physiologic cytokine concentrations associated with hemoadsorption therapy.

摘要

体外血液净化是治疗脓毒症的一种有前途的治疗方法,脓毒症是一种由感染引起的潜在致命的免疫功能障碍状态。从血液中清除炎症介质(如细胞因子)可能有助于减轻脓毒症期间的过度炎症信号,并改善患者的预后。我们正在开发一种血液吸附装置,使用生物相容性的多孔吸附珠从循环血液中去除细胞因子。在这项工作中,我们研究了血清溶质的竞争吸附是否会影响血液吸附珠内细胞因子的去除动力学。共聚焦激光扫描显微镜(CLSM)用于定量马血清中荧光标记的 IL-6 的颗粒内吸附分布,结果与双组份竞争吸附模型的预测进行了比较。需要超生理 IL-6 浓度才能获得足够的 CLSM 信号,因此,未知模型参数是在高 IL-6 浓度下拟合 CLSM 数据得到的,拟合的模型用于模拟在生理相关水平(低于显微镜检测阈值)下细胞因子的吸附行为。CLSM 颗粒内 IL-6 吸附分布与竞争吸附模型的预测一致,表明高亲和力血清溶质会取代细胞因子。然而,竞争吸附效应在生理细胞因子浓度下,与血液吸附治疗相关,根据模型预测是可以忽略不计的。

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